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Description: Food industries are extremely resource dependent. Due to unprecedented worldwide population growth, energy resource consumption associated with the food sector is increasing significantly. Plant-based protein industries including the pea protein industry, consume considerable amount of energy. Therefore, a good knowledge of energy utilization of the fractional process and optimization of the process would be beneficial for sustainability of pea protein production. This study employed data envelopment analysis (DEA) technique to assess resource utilization efficiencies of industrial extraction of pea protein in order to design optimized strategy for pea protein processing. With the help of linear programming, multiple inputs and outputs of a decision-making unit (DMU) were integrated into a relative efficiency score by comparing the DMUs. The results show that the mean value of technical efficiency for milling and air-classification unit operations are 0.88 and 0.81, respectively, based on constant return to scale. These numbers indicate that 12 and 19% of all the input resources into the process can be reduced while maintaining the same output. On average, 0.05 MJ energy and 0.1 kg pea material in milling and 0.01 MJ energy and 0.2 kg pea flour in air-classification can be saved.

Keywords: Resource utilization efficiency, Food processing, pea protein extraction
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Date: 2022-07-24
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Conference name: CSBE/SCGAB 2022 Annual Conference, Charlottetow, PEI, 24-27 July 2022.
Session name: Agricultural Engineering4

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Publication type: Presentation
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Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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